R dplyr: Group and Filter Data Tutorial

In R language, you can use the group_by() and filter() functions in the dplyr package to group and filter data.

First, install the dplyr package and load it.

install.packages("dplyr")
library(dplyr)

Next, suppose we have a data frame df and we want to group the data based on a column and filter out the data that meets certain criteria. Here is an example:

# 创建一个示例数据框
df <- data.frame(
  group = c("A", "A", "B", "B", "C", "C"),
  value = c(1, 2, 3, 4, 5, 6)
)

# 对数据进行分组并筛选
df %>%
  group_by(group) %>%
  filter(value > 3)

# 输出结果
# A tibble: 2 x 2
# Groups:   group [1]
  group value
  <chr> <dbl>
1 B         4
2 C         6

In this example, we first group the data frame df by the “group” column using the group_by() function, and then filter out the data where the “value” column is greater than 3 using the filter() function.

By doing this, we can easily group and filter data to quickly obtain the desired results.